Problem
AI coding agents often edit before inspection, overreach across files, and report completion without auditable proof.
Tool Case Study
Safe Code Agent
Inspect-first agent workflow for safer code edits, scoped approvals, and evidence-based verification.
Open-source workflow skillRepresentative projectPublic repository
Solution
Built a structured skill package with mode-based risk routing, minimal patch discipline, and a pre-approval planning report before risky execution.
Result
Released a public, reusable package with docs, lightweight demo assets, and verification-oriented release notes.
How it works
01
Inspect the repository, risk signals, and expected change boundary before editing.
02
Route the task through mode selection, activated gates, and a compact planning report.
03
Patch only the approved scope, then verify with real command output and evidence labels.
Build proof
Public repository and tagged release are available for review.
Skill package documents mode selection, gate routing, and evidence reporting.
Designed to reduce over-editing, hidden assumptions, and unverified completion claims.
Current status
Public repository. This page presents a lightweight case study and links outward for repositories, releases, demos, or heavy artifacts instead of bundling them into the website runtime.
Terminology
coding-agent skillrisk routingpre-approval planningminimal patchevidence reportverification gate
Stack
MarkdownYAMLGitHubPython validationRelease docs